Deep Learning Engineer
Quick Summary
VisionaryAI Systems is hiring a Deep Learning Engineer to design, train, and deploy neural network models that drive innovative AI solutions. The role focuses on applying deep learning to real-world challenges in areas such as computer vision, natural language processing, and generative AI. This opportunity is ideal for freshers and early-career professionals who want to grow their skills while contributing to impactful projects.
Project Category or Industry
Artificial intelligence, machine learning, and advanced technology development.
Type
Full-time employment.
Experience Level
Entry-level candidates are encouraged to apply, while applicants with one to three years of relevant deep learning experience will also be considered.
Duration
This is a long-term role with clear pathways for growth into senior technical positions.
Location
Remote-first position with global applicants accepted. Preference will be given to those who can collaborate during European or North American working hours.
Salary
Annual salary between $82,000 and $96,000, based on experience and skill level.
Payment Mode
Monthly direct deposit.
Hiring Company Name
VisionaryAI Systems.
Required Skills or Tools
The ideal candidate should have strong programming skills in Python, familiarity with TensorFlow or PyTorch, and experience working with large datasets. Knowledge of convolutional neural networks, recurrent neural networks, or transformer-based models will be highly beneficial.
Project Description
The Deep Learning Engineer will contribute to building AI models that enhance the company’s core products and services. The role is central to creating innovative tools that leverage image recognition, text understanding, and generative AI for commercial applications.
Core Responsibilities and Expected Deliverables
Responsibilities include designing model architectures, conducting experiments, fine-tuning parameters, and optimizing performance. Deliverables will include production-ready deep learning models, documented training workflows, and integration with applications.
Required Experience and Preferred Qualifications
A bachelor’s degree in computer science, data science, or a related discipline is required. Previous internships, research projects, or industry experience in deep learning will be viewed favorably. Preferred qualifications include advanced coursework in AI or certifications in TensorFlow, PyTorch, or cloud ML platforms.
Tools or Platforms to Be Used
Python, TensorFlow, PyTorch, Keras, Jupyter Notebooks, and cloud services such as AWS SageMaker or Google Cloud Vertex AI.
Language Requirement
Fluency in English is mandatory for effective communication across the distributed team.
Communication Style
Collaboration will take place primarily via Slack and Zoom, with structured updates and documentation shared through email and project management platforms.
Time Commitment or Working Window
40 hours per week with flexibility. Core collaboration hours between 9:00 and 14:00 EST or CET are preferred.
Payment Terms
Fixed monthly salary with annual reviews and eligibility for performance-based bonuses.
Evaluation Criteria
Candidates will be evaluated on their ability to design deep learning models, apply theoretical knowledge to practical problems, and communicate effectively. The hiring process will include a technical coding test and a panel interview.
Other Requirements
The successful candidate must sign a non-disclosure agreement and may be required to use time-tracking tools during onboarding.
About the Company
VisionaryAI Systems is a technology company focused on advancing artificial intelligence solutions for businesses worldwide. Headquartered in Berlin with a remote-first workforce, the company specializes in deep learning, computer vision, and natural language processing. Its mission is to create innovative products that push the boundaries of AI and deliver real value to clients across healthcare, finance, and retail. More information is available at www.visionaryai.com or by contacting careers@visionaryai.com.